2412 search results - page 124 / 483 » Which Problems Have Strongly Exponential Complexity |
200
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
125
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ACIVS
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
140
Voted
DBPL
1999
Springer
15 years 7 months ago
1999
Springer
Abstract. Based on the recursion mechanism of the XML transformation language XSL, the document transformation language DTL is defined. First the instantiation DTLreg is considere...
140
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
117
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ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper considers the problem of predictive fusion coding for storage of multiple spatio-temporally correlated sources so as to enable efficient selective retrieval of data fr...